Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
Comments 16 pages, 9 figures. Accepted by NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Comments Accepted at NeurIPS 2023
Finding Safe Zones of policies Markov Decision Processes
Comments NeurIPS 2023
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Comments Accepted to NeurIPS 2021
Tailoring Self-Attention for Graph via Rooted Subtrees
Comments Accepted at NeurIPS 2023. 23 pages in total with the appendix
GSLB: The Graph Structure Learning Benchmark
Comments Accepted by NeurIPS Datasets and Benchmarks Track 2023
OV-PARTS: Towards Open-Vocabulary Part Segmentation
Comments Accepted by NeurIPS Dataset and Benchmark Track 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Comments Accepted by NeurIPS-2023 (Poster)
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Comments Published as a conference paper at NeurIPS 2023
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models
Comments fixed a mistake of the previous version; the paper has not been submitted to neurips 2023
Robust Lipschitz Bandits to Adversarial Corruptions
Comments Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Comments Accepted by NeurIPS 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Comments Project Page at https://medarc.ai/mindeye. Code at https://github.com/MedARC-AI/fMRI-reconstruction-NSD/. Published as a conference paper at NeurIPS 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
Comments NeurIPS 2023 camera-ready
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
Comments NeurIPS 2023 Track on Datasets and Benchmarks
RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Comments ArXiv version For NeurIPS 2023 accepted paper: RRHF: Rank Responses to Align Language Models with Human Feedback
Reward Imputation with Sketching for Contextual Batched Bandits
Comments Accepted by NeurIPS 2023
Lending Interaction Wings to Recommender Systems with Conversational Agents
Comments NeurIPS 2023
Small batch deep reinforcement learning
Comments Published at NeurIPS 2023
HandMeThat: Human-Robot Communication in Physical and Social Environments
Comments NeurIPS 2022 (Dataset and Benchmark Track). First two authors contributed equally. Project page: http://handmethat.csail.mit.edu/
Nowcasting day-ahead marginal emissions using multi-headed CNNs and deep generative models
Comments NeurIPS 2023 Tackling Climate Change with Machine Learning Workshop
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
Comments To appear as a Spotlight Paper in The 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Comments NeurIPS 2023 (Main Track) Camera-ready Version. Code is available at https://github.com/ZhengxiangShi/PowerfulPromptFT
Reinforcement Learning with a Terminator
Comments NeurIPS 2022
Probabilistic Generative Modeling for Procedural Roundabout Generation for Developing Countries
Comments 6 pages. Submitted to ReALML@NeurIPS (2023)
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
Comments Submitted to NeurIPS. https://openreview.net/forum?id=xNyR7DXUzJ
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
Comments Accepted to NeurIPS 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Comments NeurIPS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
Comments NeurIPS 2023. arXiv admin note: text overlap with arXiv:2210.00949
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Comments NeurIPS 2023 accepted publication
